MAIF / shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

https://maif.github.io/shapash/

MAIF/shapash Issues

Bug: shap 0.45.0
Closed 23 days ago
Demo shapash
Closed 23 days ago1
Upgrade of minimum version of pandas to 2.1.0
Closed 23 days ago
Stuck at loading page
Updated 2 months ago
Build fails with new scikit-learn release 1.4.0
Closed 2 months ago1
Computing predictions and probabilities during compile step
Closed 2 months ago
Python 3.12 support
Closed 2 months ago
Bug: shap 0.45.0 - quickfix
Closed 3 months ago
Remove conditions on category_encoders <= 2.2.2
Closed 3 months ago
Add parameter to customize the report for the number of points into plots
Updated 3 months ago
trouble with XGBoosRegressor
Closed 3 months ago2
Index management in the Consistency class
Closed 3 months ago1
Bug in interaction_plot with a catboost model
Closed 3 months ago2
SmartExplainer: sometimes can not handle input data that have more than 5 variables
Updated 4 months ago1
Improve globally the code of shapash
Closed 4 months ago
Improve contribution plot
Updated 5 months ago
Local plot unclear
Updated 5 months ago
Improve readibility of the violin plot
Updated 5 months ago
Tests fails for generate_fig_univariate_categorical
Updated 5 months ago
BUG: with version 2.4.0 TreeExplainer is never used
Closed 6 months ago
Python 3.11 support
Closed 6 months ago3
Improve Shapash usability with non-compatible models
Updated 6 months ago1
Support for LogisticRegression
Closed 6 months ago
How is the y-axis (Shap Interaction value) in the generated plot calculated?
Closed 7 months ago7
ValueError: The condensed distance matrix must contain only finite values.
Updated 7 months ago4
Installation from pip is not working
Closed 8 months ago1
Review test environment management
Updated 8 months ago
Rationalizing the choice of dependencies
Updated 8 months ago
Removal of dependencies that have no recent releases: ACV, Lime?
Updated 8 months ago
Report demo not found
Closed 8 months ago
Upgrade nbconvert above 6.0.7
Closed 8 months ago
Can't display xpl.plot.contribution_plot() when missing data
Closed 8 months ago
References and modifications of self in smartapp create unwanted behavior
Closed 8 months ago1
Improve documentation of the list of supported models
Updated 9 months ago
Bug in Webapp for filter
Closed 9 months ago
Add possibility of using multiple models
Updated 10 months ago2
Compatibility issue re: numba.jit nopython keyword argument
Updated 10 months ago3
Show how to use alternative shaps (e.g. fasttreeshap, fastshap)
Closed 10 months ago2
Update tutorials documentation
Closed 10 months ago
Shap and shapash are incompatible with numpy 1.24
Closed 10 months ago1
Web app bug dataframe to dict
Closed a year ago2
How can I extract the plot data from `xpl.plot.features_importance()`?
Closed a year ago2
:bug: scatter plot prediction when not enough data
Closed a year ago
Support for scikit-learn 1.2.1
Closed a year ago2
Selecting an index via the Index input box for integers on Windows fails
Closed a year ago
Selecting an invalid index via the Index input box logs an error
Closed a year ago
Local explaination plot fails on positive/negative contributions display for specific cases
Closed a year ago
Errors are not managed when manipulating filters on the Shapash Webapp
Closed a year ago
SmartExplainer method init_app fails when no y_pred
Closed a year ago
Reference for the metrics
Updated a year ago1